Scientific Data Analyst/Fisheries Information Specialist

CASE Consultants International; Asheville (NC); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Company-sponsored healthcare (medical,

Job summary

CASE Consultants International is seeking a Scientific Data Analyst to support NOAA Fisheries’ Fish Ecology Division by developing, managing, and modernizing scientific information systems for fisheries research and ecosystem science.

The position focuses on improving data accessibility, reproducibility, and long-term stewardship while enabling collaborative research across NOAA.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Marine Science, Fisheries, Environmental Science, or related field.
• Experience with SQL, R, Python, or similar languages.
• Experience managing scientific datasets.
• Proficiency in R and/or Python.
• ArcGIS Pro or QGIS.
• GitHub and version control.
• COMPASS.
• Scientific software development.
• Fisheries or ecological datasets.
• Cloud computing.
• Automated QA/QC.
• Publication record preferred.

Responsibilities

• Manage biological and environmental datasets.
• Develop reproducible data processing pipelines.
• Support scientific software development and workflow automation.
• Develop GIS products and interactive visualizations.
• Maintain metadata and documentation.
• Support COMPASS information management.
• Develop GitHub-managed workflows and version-controlled analytical products.
• Collaborate with fisheries scientists, ecologists, and software developers.

Skills

SQL

R

Python

Strong written communication

GitHub and version control

Cloud computing

Automated QA/QC

Fisheries or ecological datasets

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Marine Science, Fisheries, Environmental Science, or related field

Tools

ArcGIS Pro

QGIS

COMPASS

Job description

Jul 6

Written by Liz Tarquin

Location: Seattle, WA (Hybrid/Remote Eligible)

Employment Type: Full-Time

Client: NOAA Fisheries (NMFS)

Security Requirement: Public Trust Eligibility Required (US Citizen)

Position Overview

CASE is seeking a Scientific Data Analyst to support NOAA Fisheries’ Fish Ecology Division by developing, managing, and modernizing scientific information systems supporting fisheries research and ecosystem science. This position focuses on improving scientific data accessibility, reproducibility, and long-term stewardship while supporting collaborative research across NOAA.

Key Responsibilities

• Manage biological and environmental datasets.
• Develop reproducible data processing pipelines.
• Support scientific software development and workflow automation.
• Develop GIS products and interactive visualizations.
• Maintain metadata and documentation.
• Support COMPASS information management.
• Develop GitHub-managed workflows and version-controlled analytical products.
• Collaborate with fisheries scientists, ecologists, and software developers.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Marine Science, Fisheries, Environmental Science, or related field.
• Experience with SQL, R, Python, or similar languages.
• Experience managing scientific datasets.
• Strong written communication skills.
• Proficiency in R and/or Python.
• ArcGIS Pro or QGIS.
• GitHub and version control.
• COMPASS.
• Scientific software development.
• Fisheries or ecological datasets.
• Cloud computing.
• Automated QA/QC.
• Publication record preferred.

Benefits

• Company-sponsored healthcare (medical, dental, and vision)
• Paid leave
• Retirement plan
• Training and professional development
• Remote and flexible work
• Performance-based raises and bonuses
• Other benefits

EEO Statement

CASE is an affirmative action and equal opportunity employer focused on attracting, retaining, and cultivating talented professionals with diverse backgrounds and perspectives and a diverse, inclusive workplace in which our employees thrive. We equitably consider all qualified applicants without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information, as per https://www.eeoc.gov/poster.